Joshua Afuye

Key Skills

Software

AWS SageMaker

Scale AI

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Image

Medical Dicom

Text

Top Label Types

Data Collection

Entity Ner Classification

Evaluation Rating

Translation Localization

Freelancer Overview

I am a detail-oriented Data Labeling Specialist with over three years of experience supporting AI model development through high-quality data annotation, primarily focused on text-based datasets. I have worked on large-scale projects with platforms like Populii.ai and Amazon, where I ensured strict adherence to guidelines, maintained exceptional accuracy, and met demanding productivity targets. My expertise covers data labeling, quality assurance, edge case identification, and guideline compliance, all while upholding rigorous data confidentiality standards. I am highly adaptable to evolving annotation rules and taxonomies, skilled in using web-based annotation tools, and thrive in independent, remote work environments. My strong analytical mindset and commitment to quality make me an asset for any AI training data or data annotation team.

Labeling Experience

Data Quality Analyst (QA)

Aws SagemakerTextEvaluation Rating

Conducted quality assurance reviews on large, annotated text datasets to ensure strict accuracy and consistency standards were met. Audited and validated edge cases, identified guideline deviations, and provided corrective feedback to improve overall dataset quality. Maintained confidentiality and adhered to rigorous security standards specific to Amazon's data processes. • Performed quality audits on high-volume text labeling projects • Validated ambiguous or unclear samples to ensure dataset integrity • Provided feedback on annotation errors and guideline compliance • Ensured adherence to Amazon's data security policies and delivery timelines.

Conducted quality assurance reviews on large, annotated text datasets to ensure strict accuracy and consistency standards were met. Audited and validated edge cases, identified guideline deviations, and provided corrective feedback to improve overall dataset quality. Maintained confidentiality and adhered to rigorous security standards specific to Amazon's data processes. • Performed quality audits on high-volume text labeling projects • Validated ambiguous or unclear samples to ensure dataset integrity • Provided feedback on annotation errors and guideline compliance • Ensured adherence to Amazon's data security policies and delivery timelines.

2025 - 2025

Data Annotation & Quality Assurance Analyst

Label StudioTextEntity Ner Classification

Supported machine learning training workflows by annotating and reviewing a variety of text-based datasets according to evolving guidelines. Performed quality assurance checks to minimize errors and ensure consistent labeling output. Contributed structured feedback to refine project taxonomies and annotation instructions. • Conducted detailed NER and text classification tasks • Assisted in frequent guideline updates and taxonomy adjustments • Consistently met accuracy and project timeline targets • Operated in fully remote, deadline-driven environment.

Supported machine learning training workflows by annotating and reviewing a variety of text-based datasets according to evolving guidelines. Performed quality assurance checks to minimize errors and ensure consistent labeling output. Contributed structured feedback to refine project taxonomies and annotation instructions. • Conducted detailed NER and text classification tasks • Assisted in frequent guideline updates and taxonomy adjustments • Consistently met accuracy and project timeline targets • Operated in fully remote, deadline-driven environment.

2024 - 2024

Data Labeling Specialist

Scale AIImageEntity Ner Classification

Labeled and annotated large volumes of structured and unstructured text data in accordance with project guidelines. Reviewed, validated, and corrected data to maintain high accuracy while adapting to evolving annotation taxonomies. Worked in remote teams to meet productivity and quality benchmarks across US-aligned schedules. • Processed text annotation tasks efficiently while ensuring consistency • Identified and flagged ambiguous or low-quality items for escalation • Collaborated asynchronously on quality assurance with project leads • Maintained strict data confidentiality in all labeling operations.

Labeled and annotated large volumes of structured and unstructured text data in accordance with project guidelines. Reviewed, validated, and corrected data to maintain high accuracy while adapting to evolving annotation taxonomies. Worked in remote teams to meet productivity and quality benchmarks across US-aligned schedules. • Processed text annotation tasks efficiently while ensuring consistency • Identified and flagged ambiguous or low-quality items for escalation • Collaborated asynchronously on quality assurance with project leads • Maintained strict data confidentiality in all labeling operations.

2023 - 2023

Education

Work History